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[Webinar] How to Measure TDNMR and Analysis Methods

We will introduce the measurement fields of TDNMR, how to choose measurement methods, and analysis methods!

This webinar will introduce the measurement and analysis methods of TDNMR (Time-Domain Nuclear Magnetic Resonance). Various measurement methods (pulse sequences) are available for TDNMR. We will briefly explain how to choose among these sequences, points to consider during analysis, what information can be obtained from TDNMR, and in which fields it is used. 【Overview】 ■ Date: April 27, 2023 (Thursday) ■ Time: 14:00 (Japan Standard Time) ■ Duration: 1 hour *For more details, please refer to the related links or feel free to contact us.

Related Link - https://event.on24.com/wcc/r/4093827/51BB1494BD2E1…

basic information

【Information Available】 ■Measurement and analysis methods of TDNMR (Time-Domain Nuclear Magnetic Resonance) ■Fields of measurement for TDNMR and how to choose measurement methods and analysis methods *For more details, please refer to the related links or feel free to contact us.

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【Customers We Would Like to Invite】 ■Those interested in TDNMR ■Those who want to learn about TDNMR measurement and analysis methods *For more details, please refer to the related links or feel free to contact us.*

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Bruker Biospin Group designs, manufactures, and sells instruments based on magnetic resonance technology, including world-class nuclear magnetic resonance (NMR) and electron paramagnetic resonance (EPR) spectrometers. They also develop preclinical imaging systems with single and multiple modes using magnetic resonance imaging (MRI), positron emission tomography (PET), single-photon emission computed tomography (SPECT), computed tomography (CT), and magnetic particle imaging (MPI) technologies. Bruker Biospin provides the unique capabilities of NMR to determine the structure, dynamics, and functions of specific molecules to customers in academic research institutions, government agencies, industry, and pharmaceutical companies. In particular, applications in structural proteomics, drug discovery, pharmaceutical and biotechnology research and production, and food and materials science are expected to be promising.